Bashkor Biswas
TU
Data Ware House
Data is the raw materials of any information system. With the revolution of Information Technology we are improving our decision making process more quick and smart. Data warehouse technology is the process of collection, sorting, structural formation, analysis, storing and presentation of data. So we say that data warehouse is the technology is overall data management system in the organization.
In today’s business world we are facing huge competition. To secure enough profit we have no other way but to make most accurate decision quickly. We take decision on the basis of information WE HAVE. So to take accurate decision accurately it is a pre requisite to have a smart system which can –
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Scalability: how my vendors deals with the data? Will it performed against required performance? Can the infrastructure handle the needs for different user even if they are working concurrently on this system?
Agility: How do my vendors deals with the changing needs with mixed loads that include loading data while querying and returning right answer.
Enterprise readiness: Are service of my vendors function always to keep my business running( even if in 24*7) . Is it deliver the security I need. How the vendors are protecting disaster and fraudulent manipulation.
There are some other things also we can consider : * Ease of Deployment * Cost of Up gradation *
Source : https://blogs.oracle.com/datawarehousing/entry/data_warehouse_vendor_comparis_1
Source : https://blogs.oracle.com/datawarehousing/entry/data_warehouse_vendor_comparis_1
Flexibility of the company
How it take decision :
When we think of take decision by using data ware house, we usually go through four main function of data ware house. They are : * Storing the data * Data extraction
The purpose of data warehousing is to combine all of a company 's data and allows users to access the data directly, create reports, and obtain responses to
Real-time data warehousing creates some special issues that need to be solved by data warehouse management. These can create issues because of the extensive technicality that is involved for not only planning the system, but also managing problems as they arise. Two aspects of the BI system that need to be organized in order to elude any technical problems are: the architecture design and query workload balancing.
Suppose that the data for analysis include the attribute age. The age values for the data
The providers computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical
Also, TDC had introduced a number of new analytical services for use by traders of longterm bonds. By April of 1982, the company had expanded the number of pages of information offered from 19 to 40. There were always new ways to analyze or present data on yields and prices.
To overcome the above issues, use a hybrid cloud infrastructure [2]. It combines public cloud, private cloud and dedicated servers (Figure 1), which works in one platform. It satisfies the purpose of different businesses.
What information is accessible? The data warehouse offers possibilities to define what’s offered through metadata, published information, and parameterized analytic applications. Is the data of high value? Data warehouse patrons assume reliability and value. The presentation area’s data must be correctly organized and harmless to consume. In terms of design, the presentation area would be planned for the luxury of its consumers. It must be planned based on the preferences articulated by the data warehouse diners, not the staging supervisors. Service is also serious in the data warehouse. Data must be transported, as ordered, promptly in a technique that is pleasing to the business handler or reporting/delivery application designer. Lastly, cost is a feature for the data
Technical Issues Associated with ATCS know that seamless operation is paramount to keeping clients happy, so Mastech should maintain a robust technical support staff, lowering the effort and costs associated with this from the client. This significant benefit allows firm to concentrate on value added activities while saving money. One of the biggest issue Mastech experience is forecasting IT resources. This common dilemma can result in inflated costs from overstaffing, or system malfunctions from too few IT resources. Moving to cloud-based staffing software can remove or reduce this burden from staffing firms, saving time, money and
The Fresh Direct has 300,000-square-foot headquarter and 1,500 employees. 8,500 products and 200,000 customers active in every day transaction. So every second there will be numerous data flowing into the company’s center. But the company lacks of a significant information system to deal with those data. They tried to use technology to convert the data to reports of real time information in order to
One crucial thing that organizations need to consider in today’s unstructured data world is to successfully integrate data warehouses. For this, the companies need to re-consider their enterprise data architecture and classify the governance strategy that can be talented through such efforts. There lies a need for data managers
A data warehouse is a large databased organized for reporting. It preserves history, integrates data from multiple sources, and is typically not updated in real time. The key components of data warehousing is the ability to access data of the operational systems, data staging area, data presentation area, and data access tools (HIMSS, 2009). The goal of the data warehouse platform is to improve the decision-making for clinical, financial, and operational purposes.
For a company to remain profitable, it has to constantly think about how their products will meet the consumers’ demand due to technology advancement. With the advancement of technology, companies can access a vast amount of information that they must use well to remain ahead of their competitors who might also have the same information.
The main goal of this real-time data operation intelligence is to eliminate the data warehousing latencies. By achieving this, the organization can make better decisions hence able to make more rapid decisions.
The data warehouse comes ready for use, but an organization has to get prepared to use it. The main factor is data warehouse usage. A data warehouse can be used for decision making for management staff.
Data warehouse are multiple databases that work together. In other words, data warehouse integrates data from other databases. This will provide a better understanding to the data. Its primary goal is not to just store data, but to enhance the business, in this case, higher education institute, a means to make decisions that can influence their success. This is accomplished, by the data warehouse providing architecture and tools which organizes and understands the